Papers
Mon 15 Jun 2026
529 papers
- Inhibitory Attention for Clinical Long-Context Reasoning: Characterizing and Mitigating Lost-in-the-Middle Effects in EHR ProcessingLLM reasoning → Clinical and biomedical applications
- Who Do Language Models Think Is Competent? A Mechanistic Analysis of Occupational BiasLLM reasoning → Reasoning benchmarks and evaluation
- Experience-Sensitive Game Learning: A Behavioral Study of Humans and Language AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- JKO-RAG: Distributional Retrieval as Wasserstein Free-Energy Gradient FlowRetrieval-augmented generation → Generation and context integration
- Mitigating Scaffolding Collapse in Socratic Tutors via Representation AlignmentLLM alignment / RLHF / preference optimisation → Process reward models for reasoning +1
- EvoRec: Self Evolving Agentic Recommender SystemsLLM agents and tool use → Agentic recommender systems
- Agentic Publication Protocol: An Attempt to Modernize Scientific PublicationLLM agents and tool use → Web, search, and research agents
- Thinking Like a Scientist? A Structural Study of LLM-Generated Research MethodsLLM reasoning → Reasoning benchmarks and evaluation
- Beyond Templates: Revisiting Zero-Shot Remote Sensing through Meta-PromptingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SafeDojo: Safe Reinforcement Learning for VLA via Interactive World ModelWorld models → Latent dynamics models and model-based RL +1
- How Much Coordination Gain Is Real? A Paired Noise-Floor Protocol for Multi-Agent LLM BenchmarksLLM agents and tool use → General LLM agent frameworks and benchmarks
- Distributed General-Purpose Agent Networks: Architecture, Key Mechanisms, and PrototypesLLM agents and tool use → General LLM agent frameworks and benchmarks
- DriveJudge: Rethinking Autonomous Driving Evaluation with Vision-Language ModelsLLM reasoning → Chain-of-thought reasoning for driving +2
- Decision-Driven Geosteering Under Uncertainty: A Unified Framework for Sequential Decision OptimizationDeep reinforcement learning methods → RL for energy, networks and operations
- MemTrace: Probing What Final Accuracy Misses in Long-Term MemoryLLM agents and tool use → Agent memory systems
- ProCUA-SFT Technical ReportLLM agents and tool use → GUI and mobile agents
- Quantifying Consistency in LLM Logical Reasoning via Structural UncertaintyLLM reasoning → Test-time compute and efficient thinking
- Reasoning Text-to-Video Retrieval for Operating Room Clips via Action-Driven Digital TwinsLLM reasoning → Clinical and biomedical applications
- Are you speaking my languages? On spoken language adherence in multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQALLM reasoning → Clinical and biomedical applications
- Pulling The REINS: Training-Free Safety Alignment of Video Diffusion Models via Representation SteeringDiffusion models → Robustness, privacy and adversarial aspects +3
- Rethinking Groups in Critic-Free RLVRLLM reasoning → Reinforcement learning for reasoning
- GeoDisaster: Benchmarking Orchestrated Agents for Operational Disaster Geo-IntelligenceLLM reasoning → Spatial and embodied reasoning +1
- Quantum Enchanced Multi-Scale CNN with Bi-directional Mamba for Crop Field AnalysisState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- When Rules Learn: A Self-Evolving Agent for Legal Case RetrievalLLM agents and tool use → Social simulation and multi-agent debate +1
- Revisiting LLM Adaptation for 3D CT Report Generation: A Study of Scaling and Diagnostic PriorsMultimodal LLMs / vision-language models → Medical vision-language models
- Beyond Parallel Sampling: Diverse Query Initialization for Agentic SearchLLM reasoning → Reasoning for agents, planning and code +1
- Trust-Aware Multi-Agent Traceability: Confidence-Calibrated Knowledge Graphs for Consistent Software Artifact ManagementLLM agents and tool use → Software engineering coding agents
- ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA PretrainingVision-language-action models → Human-video and latent-action pretraining
- PowerOPD: Stabilizing On-Policy Distillation with Bounded Power TransformationKnowledge distillation → On-policy and self-distillation for LLMs
- Constrained Diffusion Models with Primal-Dual InferenceDiffusion models → Diffusion foundations and sampling
- Not Truly Multilingual: Script Consistency as a Missing Dimension in VLM EvaluationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Verified Detection and Prevention of Concurrency Anomalies in Multi-Agent Large Language Model SystemsLLM agents and tool use → Software engineering coding agents
- Self-Generated Error Training for Token Editing in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- From Parasocial Scripts to Dyadic Persistence in Autonomous AI-Agent CommunitiesLLM agents and tool use → Social simulation and multi-agent debate
- RepSelect: Robust LLM Unlearning via Representation SelectivityLLM safety and security → Machine unlearning
- LineageMark: Multi-user White-box Watermarking for Contribution Tracing in Model Derivation ChainsLLM safety and security → Watermarking generated content and models
- TrustErase: Auditable Instant Machine Unlearning with Passport-Embedded RepresentationsLLM safety and security → Machine unlearning
- MODE: Modality-Decomposed Expert-Level Mixed-Precision Quantization for MoE Multimodal LLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- An Evaluation of Data Leakage Risks in Tool-Using LLM Agents in Realistic ScenariosLLM agents and tool use → Agent threats, guardrails and governance +1
- T-Rex: Tactile-Reactive Dexterous ManipulationVision-language-action models → Tactile, force-aware and humanoid VLA
- Context-Aware RL for Agentic and Multimodal LLMsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Geometric Action Model for Robot Policy LearningWorld models → Embodied and robot world models +1
- MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature PortfolioLLM agents and tool use → Web, search, and research agents
- KVEraser: Learning to Steer KV Cache for Efficient Localized Context ErasingEfficient LLM inference and serving → KV cache optimization
- Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video GenerationWorld models → Embodied and robot world models
- DEEPRUBRIC: Evidence-Tree Rubric Supervision for Efficient Reinforcement Learning of Deep Research AgentsLLM agents and tool use → Web, search, and research agents +1
- ExpRL: Exploratory RL for LLM Mid-TrainingLLM reasoning → Reinforcement learning for reasoning
- FusionRS: A Large-Scale RGB-Infrared-Style Remote Sensing Dataset for Cross-Modal Vision-Language LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- TokenPilot: Cache-Efficient Context Management for LLM AgentsLLM agents and tool use → Software engineering coding agents
- ROVE: Unlocking Human Interventions for Humanoid Manipulation via Reinforcement LearningVision-language-action models → Tactile, force-aware and humanoid VLA +1
- TuneJury: An Open Metric for Improving Music Generation Preference AlignmentLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- DreamX-World 1.0: A General-Purpose Interactive World ModelWorld models → Video-generation world models and simulators
- Consensus-based Agentic Large Language Model Framework for Harmonized Tariff Schedule Code ClassificationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Phantoms and Disclosures: A Statistical Framework for Auditing Privacy in Synthetic DataSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
- Scalable Circuit Learning for Interpreting Large Language ModelsMechanistic interpretability → Circuits and mechanistic analysis
- Exploring Extrinsic and Intrinsic Properties for Effective Reasoning with Code InterpreterLLM reasoning → Reasoning for agents, planning and code
- A Unified Causal-Origin Taxonomy of Distributional Shifts in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Demystifying Variance in Circuit Discovery of LLMsMechanistic interpretability → Circuits and mechanistic analysis
- LESS Is More: Mutual-Stability Sampling for Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Compositional Reasoning Depth Predicts Clinical AI Failure: Empirical Evidence Consistent with Transformer Compositionality Limits in Electronic Health Record Question AnsweringLLM reasoning → Clinical and biomedical applications
- LOPAL: Local Performance-Aware Active Learning from Imperfect DemonstrationsOffline RL and imitation learning from data → Robot learning from demonstration
- Neuro-Symbolic Software Verification: Hyper-charging Local Language Models with Symbolic Reasoning at ScaleLLM reasoning → Reasoning benchmarks and evaluation
- Human-on-the-Bridge: Scalable Evaluation for AI AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Latent Space Reinforcement Learning for Inverse Material Estimation in Food Fracture SimulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Deep Q-Learning on H"older SpacesDeep reinforcement learning methods → RL theory and sample complexity
- Robust Dual-Signal Fusion: Hybrid Neuro-Symbolic Gating with Compressed Chain-of-Thought Refinement for Irony Detection in Social Media TextsLLM reasoning → Multimodal reasoning
- Towards LLM Accelerated Rapid Reviews for Software Tool Discovery -- Case for Log Anomaly DetectionLLM agents and tool use → Software engineering coding agents
- Tying the Loop -- Tied Expert Layers in Mixture-of-Experts Language ModelsMixture-of-experts → MoE large language models
- CacheWise: Understanding Workloads and Optimizing KVCache Management for Efficiently Serving LLM Coding AgentsEfficient LLM inference and serving → Efficient reasoning and agent inference
- How Much Can We Trust LLM Search Agents? Measuring Endorsement Vulnerability to Web Content ManipulationLLM agents and tool use → Agent threats, guardrails and governance
- Understanding the Behaviors of Environment-aware Information RetrievalRetrieval-augmented generation → Agentic RAG, agents and memory
- A Perception vs. Distortion Perspective on Score-Based Generative Channel EstimationDiffusion models → Diffusion for compression and wireless
- GIST-CMTF: Goal-State Inference for Causal Minimal Tool Filtering in LLM AgentsLLM agents and tool use → Tool learning and function calling
- Scaling LLM Reasoning from Minimal Labels: A Semi-Supervised Framework with a Lightweight VerifierLLM reasoning → Test-time compute and efficient thinking
- Adaptive and Explicit safe: Triggering Latent Safety Awareness in Large Reasoning ModelsLLM reasoning → Reasoning for agents, planning and code +2
- LLM-based Visual Code Completion for Aerospace Geometric DesignMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- LabOSBench: Benchmarking Computer Use Agents for Scientific Instrument ControlLLM agents and tool use → Web, search, and research agents
- Decoupling Semantics from Distortions: Multi-Scale Two-Stream Vision-Language Alignment for AI-Generated Image Quality AssessmentMultimodal LLMs / vision-language models → Image editing and quality assessment
- Decision-Weighted Flow Matching for Contextual Stochastic OptimizationDiffusion models → Flow matching, time series and science
- Gen-VCoT: Generative Visual Chain-of-Thought Reasoning via Diffusion-Based RGB Intermediate RepresentationsLLM reasoning → Multimodal reasoning +1
- OpenClaw-Skill: Collective Skill Tree Search for Agentic Large Language ModelsLLM agents and tool use → Agent skill learning and evolution
- GD2PO: Mitigating Multi-Reward Conflicts via Group-Dynamic reward-Decoupled Policy OptimizationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Skill-to-LoRA: From Using Skills to Learning Behaviors for Token-Efficient LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- Maximum Entropy Inverse Reinforcement Learning for Mean-Field Games with Average RewardOffline RL and imitation learning from data → Inverse reinforcement learning +1
- Automated jailbreak attack targeting multiple defense strategiesLLM safety and security → Jailbreaking
- Structure-aware Knowledge-guided Heterogeneous Mamba for Zygomaticomaxillary Suture AssessmentState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- MyPCBench: A Benchmark for Personally Intelligent Computer-Use AgentsLLM agents and tool use → GUI and mobile agents
- A First-Principles Derivation of LLM Policy Optimization: From Expected Reward to GRPO and Its Structural ExtensionsLLM reasoning → Reinforcement learning for reasoning
- AgentFairBench: Do LLM Agents Discriminate When They Act?LLM agents and tool use → Social simulation and multi-agent debate
- Medical world models: representing medical states, modelling clinical dynamics and guiding intervention policiesWorld models → Medical and surgical world models
- Misinformation Propagation in Benign Multi-Agent SystemsLLM agents and tool use → Social simulation and multi-agent debate
- Harmonizing Semantic and Collaborative in LLMs: Reasoning-based Embedding Generator for Sequential RecommendationLLM reasoning → LLM reasoning for recommendation
- Multi-Turn Reflective Masking Elicits Reasoning in Mask Diffusion ModelsLLM reasoning → Diffusion reasoning and test-time scaling +1
- VENOM: Versatile Embodied Network for Omni-bodied Motion trackingDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Multimodal Evaluator Preference Collapse: Cross-Modal Coupling in Self-Evolving AgentsLLM agents and tool use → Multimodal and embodied agents +1
- MMDiff: Extending Diffusion Transformers for Multi-Modal GenerationDiffusion models → Image generation, text-to-image and editing
- Look Again Before You Abstain:Budgeted Conformal Evidence Acquisition for Reliable Vision-Language ModelMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- SCAR: Semantic Continuity-Aware Retrieval for Efficient Context Expansion in RAGRetrieval-augmented generation → Generation and context integration
- Vision-Language Models as Zero-Annotation Oracles in HistopathologyMultimodal LLMs / vision-language models → Medical vision-language models
All 529
- The Integrator Advantage: Controlled Agentic AI for Small and Medium-Sized CompaniesLLM agents and tool use → Software engineering coding agents
- DCP-Prune: Ultra-Low Token Pruning with Distribution Consistency PreservationEfficient LLM inference and serving → Visual token pruning in multimodal models
- Reinforcement Learning with Inner-loop Dynamics Estimator for Aerial Manipulation under UncertaintyDeep reinforcement learning methods → RL for robot navigation and UAV control
- Entropy-Gated Latent RecursionLLM reasoning → Test-time compute and efficient thinking
- CoffeeBench: Benchmarking Long-Horizon LLM Agents in Heterogeneous Multi-Agent EconomiesLLM agents and tool use → Social simulation and multi-agent debate
- Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein GuaranteesDiffusion models → Flow matching, time series and science
- ARB4WM: An Adversarial Robustness Benchmark for World Models in Continuous ControlWorld models → World model security and GUI agents +1
- VeriGraph: Towards Verifiable Data-Analytic AgentsLLM agents and tool use → Web, search, and research agents
- SING: Synthetic Intention Graph for Scalable Active Tool Discovery in LLM AgentsLLM agents and tool use → Tool learning and function calling
- Infant Spontaneous Movement Noise Improves Exploration in Deep RLDeep reinforcement learning methods → Deep RL algorithms and representations
- LOCUS: Local Visual Cue Search for Enhancing Fine-Grained Perception in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Uncertainty Is Not a Safety Net for Clinical VQA, but Can It Anticipate Model Failure?Multimodal LLMs / vision-language models → Medical vision-language models
- Can LLM Agents Infer World Models? Evidence from Agentic Automata LearningWorld models → World models for language agents +1
- Steering Generative Reinforcement Learning into Stable Robotic ControllerDeep reinforcement learning methods → RL for robot locomotion and manipulation
- PROSE: Training-Free Egocentric Scene Registration with Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- MIRAGE: Auditing Anti-Muslim Bias in Frontier LLMs Across Reasoning, Agentic, and Time-Coupled ConditionsLLM reasoning → Reasoning benchmarks and evaluation +1
- ROSA-RL: Uncertainty-Aware Roundabout Optimized Speed Advisory with Reinforcement LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
- Incentives and Evidence in Learned Service OrchestrationDeep reinforcement learning methods → RL for energy, networks and operations
- Can LLM Coding Agents Reason About Time Series?LLM reasoning → Time series reasoning +1
- Kairos: A Regret-Aware Native World-Action Model Stack for Physical AIWorld models → World models for navigation
- DoubtProbe: Black-Box Jailbreak Defense via Structural Verification and Semantic AuditingLLM safety and security → Jailbreaking
- BadWorld: Adversarial Attacks on World ModelsWorld models → World model security and GUI agents
- How Post-Training Shapes Biological Reasoning ModelsLLM reasoning → Clinical and biomedical applications
- Direction-Conditioned Policies via Compositional Subgoal Scoring for Online Goal-Conditioned Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Agile Fall Recovery for Quadrotors with Bidirectional Thrust via Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- APEX: Adaptive Policy Execution for Precise ManipulationVision-language-action models → Failure recovery and robustness +1
- REFLEX: Reflective Evolution from LLM ExperienceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Lost at the End: Primacy Bias in Multimodal Retrieval-Augmented Question AnsweringRetrieval-augmented generation → Multimodal RAG
- BRICKS-WM: Building Reusability via Interface Composition Kinetics for Structured World ModelsWorld models → Latent predictive world models +1
- Unified Multimodal Model for Brain MRI Imputation and UnderstandingMultimodal LLMs / vision-language models → Medical vision-language models
- Steering Emotional Dynamics for Art Therapy: Controllable Narrative Script Generation through Hierarchically Guided LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Tensor-Coord: Algebraic Decomposition of Joint Plan Tensors for Conflict-Free Multi-Agent LLM PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
- When Agent Automation Becomes Profitable: Quantifying and Insuring Autonomous AI Risk through Trace-Economic UnderwritingLLM agents and tool use → Financial trading and forecasting agents
- RHO: Your Coding Agent is Secretly a RoboticistLLM agents and tool use → Multimodal and embodied agents
- SPRI: SVD-Partitioned Residual Initialization for Data-Constrained MoE UpcyclingMixture-of-experts → MoE large language models
- Training and Evaluating Diffusion Policies with Long Context LengthsDiffusion models → Diffusion and flow policies for robotics +1
- ACCORD: Action-Conditioned Contextual Grounding for Language AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Taylor-Calibrate: Principled Initialization for Hybrid Linear Attention DistillationEfficient LLM inference and serving → KV cache optimization
- Transferable Self-Evolving Playbooks for Agentic Security AuditingLLM agents and tool use → Agent threats, guardrails and governance
- Instance-Aware Knowledge Distillation for Semi-Supervised Learning of an On-Board Multi-Task Dense Prediction Model for Collision Avoidance SystemKnowledge distillation → Multimodal distillation
- PathRouter: Aligning Rewards with Retrieval Quality in Agentic Graph Retrieval-Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory +1
- MUNI: Multimodal Unified Latent Diffusion for Coherent Any-to-Any GenerationDiffusion models → Image generation, text-to-image and editing
- RGFVR: Reference-Guided Face Video Restoration with Flow MatchingDiffusion models → Inverse problems and image restoration
- Looking Is Not Picking: An Attention-Segment Account of Tool-Selection Failures in LLM AgentsLLM agents and tool use → Tool learning and function calling
- Tyler: Typed Latent Reasoning for Language Models -- When to Think, What to Compute, and How Much to AllocateLLM reasoning → Test-time compute and efficient thinking
- GraphBEV++: Multi-Modal Feature Alignment for Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- From Refusal Geometry to Safety Geometry: Harmfulness--Refusal Coupling under Dynamic Adversarial Fine-TuningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Chronological Blindness: Benchmarking Temporal Reasoning in Vision-Language Models with CHRONOSIGHTLLM reasoning → Multimodal reasoning +1
- SMEPilot: Characterizing and Optimizing LLM Inference with Scalable Matrix ExtensionsEfficient LLM inference and serving → Serving systems and request scheduling
- Diffusion Offline Reinforcement Learning for Fair and Energy-Efficient UAV-Assisted Wireless NetworksDiffusion models → Diffusion and flow policies for robotics +1
- AdaSTORM: Scaling LLM Reasoning on Dynamic Graphs via Adaptive Spatio-Temporal Multi-Agent CollaborationLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Training-free sparse attention based on cumulative energy filteringDiffusion models → Video generation
- RL-Index: Reinforcement Learning for Retrieval Index ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- State-Grounded Multi-Agent Synthetic Data Generation for Tool-Augmented LLMsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- pFedUL: Layer-Aware Federated Unlearning for Personalized Federated LearningLLM safety and security → Federated unlearning and poisoning
- VisualClaw: A Real-Time, Personalized Agent for the Physical WorldMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Dynamic Malicious Skills in Agentic AILLM agents and tool use → Agent threats, guardrails and governance
- FlowMPC: Improving Flow Matching policies with World ModelsWorld models → Embodied and robot world models +1
- Who Should Lead Decoding Now? Tracking Reliable Trajectories for Ensembling Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- RealityBridge: Bridging Editable 3D Gaussian Splatting Driving Simulations and Real-World VideosWorld models → World models for autonomous driving
- SpecAlign: Efficient Specification-Grounded Alignment of Large Language Models via Synthetic DataLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- GraphWorld: Long-Horizon Planning with World Models for End-to-End Autonomous DrivingWorld models → World models for autonomous driving +1
- TopoRetarget: Interaction-Preserving Retargeting for Dexterous ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Tropical: Enhancing SLO Attainment in Disaggregated LLM Serving via SLO-Aware MultiplexingEfficient LLM inference and serving → Serving systems and request scheduling
- KeepLoRA++: Continual Learning with Layer-Scaled Residual Gradient AdaptationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- UniDDT: Unifying Multimodal Understanding and Generation with Decoupled Diffusion TransformerDiffusion models → Image generation, text-to-image and editing
- Learned Image Compression for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- Rapid Poison: Practical Poisoning Attacks Against the Rapid Response FrameworkLLM safety and security → Jailbreaking
- Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram SynthesisDiffusion models → Image generation, text-to-image and editing
- Creative Collision: Directorial Persona Steering and Competition in Large Language ModelsMechanistic interpretability → Activation steering methods
- Evolutionary Bilevel Reward Shaping for Generalization in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Latent Thought Flow: Efficient Latent Reasoning in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- LUCID: Learned Undersampling-Adaptive Consistency-Guided Inference with Deterministic Flow Matching for Sparse-View CT ReconstructionDiffusion models → Medical imaging and segmentation
- Weaving Multi-Source Evidence for Biomedical Reasoning: The BioMedHop Benchmark and BioWeave FrameworkLLM reasoning → Clinical and biomedical applications
- ATHENA: Accelerated Multi-Task Heterogeneous Influence Functions for Robot Data CurationVision-language-action models → Reinforcement learning and post-training +1
- DynFS-MoE: Dynamic Functional-Structural Mixture-of-Experts for Post-Traumatic Epilepsy DiagnosisMixture-of-experts → Medical and biomedical MoE
- Cascaded Sparse Autoencoders Learn Multi-Level Visual Concepts in Multimodal LLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- TEASR: Training-Efficient Any-Step Diffusion Transformer for Real-World Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- To forget is to preserve: Machine Unlearning for 3D medical image segmentationLLM safety and security → Machine unlearning
- TimeVista: Exploring and Exploiting Vision-Language Models as Judges for Time Series ForecastingMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Multimodal LLM-Empowered Re-Ranking for Generalizable Person Re-IdentificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Focus When Necessary: Adaptive Routing and Collaborative Grounding for Training-Free Visual GroundingLLM reasoning → Multimodal reasoning +1
- A Gradient Perspective on RLVR Stability and Winner Advantage Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- The Quality-Utility Paradox: Why High-Reward Data Impairs Small Model Mathematical ReasoningLLM reasoning → Prompting and chain-of-thought reasoning +2
- Teaching agentic AI to generalize expert diagnostic reasoning in rare diseasesLLM reasoning → Clinical and biomedical applications +1
- AIA: A 16nm Multicore SoC for Approximate Inference Acceleration Exploiting Non-normalized Knuth-Yao Sampling and Inter-Core Register SharingEfficient LLM inference and serving → Serving systems and request scheduling
- VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language ModelsLLM reasoning → Test-time compute and efficient thinking
- XAI-Grounded Explanation Generation for Speech Deepfake Detection with Training-Free Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- SwiftCache: Efficient LLM Serving for Multi-turn Conversations with Heterogeneous KV Cache SharingEfficient LLM inference and serving → KV cache optimization
- Thinking with Visual GroundingLLM reasoning → Multimodal reasoning
- Invisible Manipulation Channels in AI-Assisted Financial Advisory: Implications for Market Integrity and Regulatory DesignLLM safety and security → Safety alignment, refusal and guardrails
- Know Your Limits : On the Faithfulness of LLMs as Solvers and Autoformalizers in Legal ReasoningLLM reasoning → Reasoning for agents, planning and code
- Towards Pareto-Optimal Tool-Integrated Agents with Pareto Ranking Policy OptimizationLLM agents and tool use → Reinforcement learning for LLM agents
- Auditing Machine Unlearning: A Systematic Research on Whether Models Truly ForgetLLM safety and security → Machine unlearning
- VinQA: Visual Elements Interleaved Long-form Answer Generation for Real-World Multimodal Document QAMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Tool-IQA: Augmenting Image Quality Assessment with Simple ToolsMultimodal LLMs / vision-language models → Image editing and quality assessment
- Phys-JEPA: Physics-Informed Latent World Models for Multivariate Time-Series ForecastingWorld models → Latent predictive world models
- PVminerLLM2: Improving Structured Extraction of Patient Voice via Preference OptimizationLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- From Question-First to Analyst-First: Domain-Expert Skills and Verified Knowledge Compilation for Proactive Enterprise Analytics
- Steering topology distributions for unified generative design of architected metamaterials
- Masked Autoencoders Learn Perception-Relevant Representations from Resting State Neural Data
- DynaResize: Runtime GPU Reallocation for Disaggregated LLM Post-Training
- Revitalizing Public Urban Places through Cultural and Political Memory: A Technological Approach with LLMs and Augmented Reality
- Quotient Tree Arithmetic: Deferred-Division Computation with Bounded Symbolic Depth and Cross-Subtree Cancellation
- From Errors to Rules: Iterative Prompt Optimization for Text Classification
- Domain Design for the Cops and Robbers Problem
- Federated Explainable Artificial Intelligence: Roles, Architectures, Evaluation, and Open Challenges
- The Perplexity Trap: When Patent Law Makes Human Writing Look Like AI
- Transfer Learning Across Policy Regimes in Adaptive Multi-Agent Systems
- SciML in the Wild: A Diagnostic Study of When Structural Priors Help and When They Hurt
- Towards a Pseudo-Labeling Workflow for Celltype-Classification from Explanted Brain Slice Recordings
- Qualified Educational Capacity Planning under Heterogeneous Student Support Needs: A Synthetic Benchmark and Decision-Support Framework
- Conversational Query Engine for Mixed-Modality Heterogeneous Enterprise Data Sources
- Multimodal and Multiscale Spatial-Temporal Semantic Search and Recommendation with AI Foundation Models
- Toward Self-Evolution-Ready Workflow Harnesses: A Reversible Migration Path and Convertibility Taxonomy for Expert LLM Pipelines
- WiFi-Based People Counting Using Beam-Steerable Antennas: A Test-bed Study
- GEOPHYS: The Geometry of Physical Plausibility
- MotionPyramid: Hierarchical Motion Representation and Residual Interfaces
- Artificial Intelligence as Monism: Ontological, Organisational, and Methodological Implications
- Robust Image-Driven Phenotyping of Ovarian Tumor Cells using Optimized Dynamic Features in Hyperbolic Channels
- BARD-MARL: Byzantine-Agent Detection for Learned Communication in Multi-Agent Reinforcement Learning
- Machine-Coached Policy Revision in Adaptive Agent-Based Regulatory Simulation: A Controller-Level Contestability Layer
- Structural Distinguishability of Static and Adaptive Policy Regimes in Agent-Based Regulatory Simulation
- AEF-Econ: Toward Plug-and-Play Socioeconomic Foundation Embeddings from AlphaEarth for Urban Remote Sensing
- MindAlign: Decoding Inner Speech from fMRI Signals via Multimodal Embedding Alignment under Limited Data
- Spatio-Temporal Wildfire Spread Prediction in Canada using a Video Swin-Hybrid-U-Net and Satellite Imagery
- Bistable by Construction: Wall-Clock-Calibrated State Monitors Have No Moment-Detection Regime at Agent Cadence
- 3D Scene Graphs: Open Challenges and Future Directions
- Vibe Coding Ate My Homework: An evaluation of AI approaches to greenfield software engineering and programming
- A Polyak-Ruppert Central Limit Theorem for SA-Adam with Momentum and Non-Convergent Adaptive Preconditioning
- Complex Layout Classification in the Wild: A Low-Resource Approach with Layout-Preserving Augmentations
- Translating the Untranslatable: An Operationalizable Ontology for Untranslatability
- MM++: Post-Hoc Scale-Invariant Multilayer OOD Detection via Top-K Gated Feature Fusion
- Do Large Language Models Always Tell The Same Stories?
- Machine learning modeling of hit-into-play probability and quantification of pitch sequence effects
- Trustworthy MRI Reconstruction via Bayesian Uncertainty Quantification with Sparsity Prior Models
- Learning a Maximum Entropy Model for Visual Textures using Diffusion
- Geometry-Consistent Endoscopic Representations for Image-Guided Navigation via Structured Foundation Model Adaptation
- SpeechDx: A Multi-Task Benchmark for Clinical Speech AI
- FATE: Pillar Encoding and Frequency-Aware Training for Event-Based Object Detection
- Tight L_∞ Sample Complexity for Low-Degree and Sparse Boolean Polynomials
- Transformer-Based Warm-Starting for Feasible and Optimal Terminal Approach to Tumbling Objects with Space Manipulators
- SierpinskiCam: Camera-Controlled Video Retaking with Sierpinski Triangle Pattern Cues
- Kernel-Based Functional Balancing for Causal Inference with Compositional Treatments
- Turning music identification into a neural forward pass
- Examining the Limits of Word2Vec with Toki Pona
- Pareto LoRA: Mitigating Modality Imbalance in Unified Multimodal Models via Pareto-Optimal Gradient Integration
- Phenotyping TPF via Self-Supervised Learning: A Label-Agnostic Framework with Expert Validation
- VISTA: Scale-Aware Visual Navigation via Action History Conditioning
- Nothing from Something: Can a Language Model Discover 0?
- From Democracies to Autocracies: How AI Systems Enable Authoritarianism by Design
- ARVO: Atlas of Reproducible Vulnerabilities for Open-Source Software
- On the Memorization Behavior of LLMs in Generative Recommendation: Observations, Implications, and Training Strategies
- Skill-Constrained Model Predictive Control for Resilient Manufacturing Supply Chains
- Bayesian Poisson-Randomized Gamma Tensor Factorization with Application to International Trade Flows
- SkillChain-Gym: A Benchmark for Reskilling-Aware Production-Inventory Control under Disruptions
- Accelerated Convex Optimization via Hamiltonian Dynamics with Deterministic Integration Time
- Contrastive Action-Image Pre-training for Visuomotor Control
- MLLP-VRAIN UPV system for the IWSLT 2026 Simultaneous Speech Translation task
- From Compression to Deployment: Real-Time and Energy-Efficient FastGRNN on Ultra-Constrained Microcontrollers
- Landsat-Sentinel-2 Algal Bloom Mapping Using Vision Transformers: Model Description, Implementation, and Examples
- Beyond Benchmarks: Continuous Edge Inference for Fine-Grained Roadside Perception
- Physics-Informed Attention Mechanism and Generalization Capability of Deep Learning-Based Grain Growth Evolution Prediction
- Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation
- Uncertainty Quantification of Engineering Structures by Polynomial Chaos Expansion and Multivariate Active Learning
- Rift: A Conflict Signature for Deception in Language Models
- Sum-of-Squares Degree Barriers for the Reweighted-Hinge Method in Robust Halfspace Learning: A Christoffel-Function Characterization
- Cluster-Aware Dual-Level Test Specification Generation for Large-Scale Automotive Software Requirements
- Another Look at Log-PCA for Probability Measures: A Dynamical Formulation and Statistical Convergence
- Finsler Geometry, Graph Neural Networks, and You
- Towards Fast GNN Surrogates for CO2 Migration in Complex Geological Formations
- Statistical Foundations of LLM-based A/B Testing: A Surrogacy Framework for Human Causal Inference
- PromptMN: Pseudo Prompting Language
- MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision
- Agentic Discovery of Non-Canonical Antimicrobial Peptides with AMPGAN v3
- Vibrato Expression Control for Singing Voice Conversion with Improving Independent Control
- Regularized Machine Learning for System Identification of Ship Free-Running Manoeuvres from CFD-Based Synthetic Data: A Comparative Study
- Noise-Driven Escape from Metastable Phases explains Grokking in Deep Neural Networks
- Graph neural networks at war: integrating cybersecurity and drone intelligence in the Israeli-Iranian conflict
- Probing, Fusion, and Trustworthiness: A Systematic Evaluation of Foundation Model Representations for Multimodal Cancer Analysis
- The Critical Role of Model Selection in Causal Inference: A Comparative Analysis of Classification Models within the InferBERT Framework for Pharmacovigilance
- Loss Landscape Poisoning: Targeted Extraction of Unseen Training Data from LLMs
- Timestamp-Aware Spatio-Temporal Graph Contrastive Learning for Network Intrusion Detection
- The Value Axis: Language Models Encode Whether They're on the Right Track
- Human Universal Grasping
- BRDFusion: Physics Meets Generation for Urban Scene Inverse Rendering
- Exact Posterior Score Estimation for Solving Linear Inverse Problems
- Hierarchical Advantage Weighting for Online RL Fine-Tuning of VLAs from Sparse Episode Outcomes
- R2RDreamer: 3D-aware Data Augmentation for Spatially-generalized 2D Manipulation Policies
- The Importance of Phase in Neural Representations: An Internal Oppenheim-Lim Test of Image Classifiers
- Your Privacy My Cloak: Backdoor Attacks on Differentially Private Federated Learning
- HAMON: Passive Optical Sequence Mixing for Long-Horizon Forecasting
- MeshLoom: Feed-Forward Non-Rigid Registration of Mesh Sequences
- Learning the Geometry of Data: A Mathematical Review of Shape Space Analysis
- Filtered Conformal Ellipsoids for Graph-Native Time Series
- Exploding and vanishing gradients in deep neural networks: the effect of residual connections
- From Tokens to Policy: Causal and Interpretable Heterogeneous Treatment Effects Identification
- Bayesian Inference and Decision Audits for Public Archives of Frontier AI Evaluations
- The Complexity of Min-Max Optimization for Quadratic Polynomials
- Selection Without Signal, Recovery Through Expression: A Measurement Study of Post-Hoc Falsification Operators for Frozen Small Code Models
- ActiveSAM: Fast and Accurate Open-Vocabulary Semantic Segmentation with Frozen SAM 3
- When in Doubt, Plan It Out: Committed Small Language Model Deliberation for Reactive Reinforcement Learning
- A Multi-Center Benchmark for Abdominal Disease Diagnosis and Report Generation from Non-Contrast CT
- Analytic Torsion and Spectral Gap Capture Persistent-Laplacian Performance
- Stable Menus of Public Goods: AI-Enabled Progress
- Agent trajectories as programs: fingerprinting and programming coding-agent behavior
- Dynestyx: A Probabilistic Programming Library for Dynamical Systems
- Decoupling Inference from State Updates in Low-Latency Feature Engines via Probabilistic Thinning
- Scalable Pairwise Kernel Learning with Stochastic Vec Trick
- Task-Error Residual Learning for Real-Robot Five-Ball Juggling
- Sobolev Approximation by Fixed-Size Neural Networks with Arbitrary Accuracy
- The Shift Toward Open and Reproducible AI Research
- How Much Do Reviews Really Contribute? A Study on Text-Enriched Matrix Factorization for Recommendations
- Probing Low Frame Rate Degradation in Neural Audio Codecs
- Beyond the Smile: A Hybrid Convolutional VAE for Crypto Volatility Surfaces
- SurroundNEXO: Ego-Centric Metric Bridging for Spatially Consistent Geometry in Autonomous Driving
- Simulation-Based Multi-Fillet Evaluation of Woody Breast Poultry Fillets
- Latent space mapping of interpretable structural coordinates from stochastic single-molecule signals
- A Causal Model of Theory of Mind in Conflict for Artificial Intelligence
- A nonparametric two-sample test using a parametric integral probability metric
- CrossMaps: Confidence-Aware Open-Vocabulary Semantic Mapping for Rover Navigation
- Functional Gradient Descent with Adaptive Representations
- RAID: Semantic Graph Diffusion for True Cold-Start and Cross-Lingual Forecasting
- MA-SBI: Misspecification-Aware Simulation-Based Inference via Side-Channel Guidance
- Greed Is Learned: Visible Incentives as Reward-Hacking Triggers
- Optimal Multiscale Learning of Linear Operators
- IMPACTeen: Intentions, Manipulation, Persuasion, Annotations, and Consequences in Teen Communication Dataset
- Speaking the Language of Science: Toward a General-Purpose Generative Foundation Model for the Natural Sciences
- Binary Tracking for Spatial QA and Navigation with Open Vision-Language Models
- Factorized Neural Operators Decompose Dynamic and Persistent Responses
- Fantastic Pretraining Optimizers and Where to Find Them II: Hyperball Optimization
- Semantic Flip: Synthetic OOD Generation for Robust Refusal in Embodied Question Answering and Spatial Localization
- Contrastive-Difference CKA Reveals Concept-Specific Structural Alignment Across Language Model Architectures
- Symbolic Informalization: Fluent, Productive, Multilingual
- Beyond Weights and Gradients: A Taxonomy of Federated Learning Messages
- Upper Bounds on the Generalization Error of Deep Learning Models via Local Robustness and Stability
- Integrated Marketing Attribution: A Bayesian Framework for Privacy-Safe Granular Measurement Anchored in MMM
- Understanding Scam Trends and Rail Paths from Reddit Self-Disclosure Narratives
- Federated Medical Image Segmentation under Real-World Label Noise: A Benchmark Suite for Noisy Label Learning Method Selection
- Revisiting the Systematicity in Negation in the Era of In-Context Learning
- Redirecting the Flow: Image Customization through Attention Distribution Shift
- HawkesNest: A Multi-Axis Synthetic Benchmark for Spatiotemporal Pattern Complexity
- An Open-Source Monitoring Framework for Data Exploration and Progress Tracking in Multi-Center Radiology Studies
- Follow the Latent Roadmap: Navigating Revocable Decoding for Diffusion LLMs with Anchor Tokens
- Data-Driven Decoding of Russell's Circumplex Model of Affect
- Beyond Models: Reflections on Engineering AI-enabled Systems in a Project-Based Course
- Robust Spoofed Speech Detection via Temporal Pyramid Modeling
- Does Traversal Order Matter? A Systematic Study of Tree Traversal Methods in Transformer Grammars
- ATOM-Bench: A Real-World Benchmark for Atomic Skills and Compositional Generalization in Manipulation Policies
- Connecting Speech to Words through Images
- The Art of Mixology: Mixup-based Obfuscation for Privacy-Preserving Split Learning in Large Language Models
- WaveDINO: Learning-Based Atmospheric Correction of Unwrapped InSAR Interferograms Validated by GNSS: Results at Laguna del Maule and Campi Flegrei Volcanoes
- LLM-Based Visual Explanation Evaluation Framework for Assessing the Explainability of Facial Skin Disease Classification Models
- We Need Explanation Cards to Connect Explanation Algorithms to the Real World
- Generative Predictive Distributions for Time Series
- Taming Curvature: Architecture Warm-Up for Stable Transformer Training
- Text-Vision Co-Instructed Image Editing
- A Validated LBM Dataset and Pipeline for Surrogate Modeling of Turbulent 3D Obstructed Channel Flows
- Cross-Silo De-Anonymization Under Local Differential Privacy: Threat Model, Phase Transition, and Coordination Necessity
- 3D Classification of Paramagnetic Rim Lesions in Multiple Sclerosis via Asymmetric QSM-FLAIR Modeling
- P3B3: A Multi-Turn Conversational Benchmark for Measuring European and Brazilian Portuguese Variety Bias in LLMs
- STAR-NT: Spatiotemporal Acceleration of Real-Time Neural Transparency Rendering
- Revealing Artifacts via Noise Amplification: A Novel Perspective for AI-Generated Video Detection
- The Algebra of Units: From Buckingham's Pi-grec Theorem to Latent-Variable Learning
- MuVAP: Multimodal Multiparty Voice Activity Projection for Turn-taking Prediction in the Wild
- Attention is Just Another Name for Coupling? A Fast-Slow ODE Perspective on Hierarchical Pretraining
- Learning Policy from a Single Trajectory in Average-Reward Markov Decision Process
- User as Code: Executable Memory for Personalized Agents
- When Does Depth Matter For In-Context Learning? Adaptive Inference in Deep Transformers
- Learning Hybrid Biophysical Neuron Models with Neural ODEs
- PATCH: Action-Chunk-Conditioned Latent Patch Innovation Monitoring for Robot Manipulation
- From Affect Prediction to Affect Forecasting: Evidence for Distinct Information Sources in Longitudinal Text
- Progressive Knowledge-Guided Large Language Model Framework for Bearing Fault Diagnosis
- Spectral Sparsification of Laplacian-Constrained Gaussian and H"usler-Reiss Graphical Models
- Sinkhorn-CPD: Robust point cloud registration via unbalanced entropic optimal transport
- Beyond Defensive Reporting: Machine Learning for Active Anti-Money Laundering Control in Insurance
- FraudSMSWalker: Benchmarking Agentic Large Language Models for SMS-to-Webpage Fraud Detection
- Near-Optimal Stochastic Linear Bandits with Delay
- Distribution Alignment for One-Shot Federated Learning via Optimal Transport
- Optimising Temporary Accommodation Placement Across London with AI-Powered SaaS in E-Governance Systems
- SPICE: Synergy and Partial Information Based Curriculum Evolution
- MVM-IOD: An Industrial Object-Centric Benchmark Dataset for the Evaluation of 3D Reconstruction Methods
- Islamic Large Language Models: From Knowledge Acquisition to Trustworthy and Hallucination-Resistant AI
- Using AI in engineering education: a balancing act, driven by clear purpose
- GA-VINO: A Geometry-Aware Variational Physics-informed Neural Operator for Mindlin-Reissner Plates
- Sycophancy as Material Failure under Pushback Loading: A Multi-Axis Characterization Across Three Loading Cases and up to Seventeen Material Charges
- SUP-MCRL: Subject-aware Unified Pseudo-feature Coded Multimodal Contrastive Representation Learning for EEG Visual Decoding
- Beyond Artifacts: Towards Generalizable Synthetic Song Detection via Music-Intrinsic Features
- TCHG: Tri-Trust Conditioned Heterogeneous Graph Learning for Reliable Dynamic Trust Prediction
- Context-Aware Markov VAE for CSI Compression in Wireless Systems
- PhysGuard: Fisher-Guided Gradient Projection for Sim-to-Real Neural PDE Surrogates
- DifferAD-R1: A Difference-Guided IndustrialAnomaly Localization with Multimodal LargeLanguage Models
- TreeGRNG: Binary Tree Gaussian Random Number Generator for Efficient Probabilistic AI Hardware
- How Far Can Machine Translation Quality Take You? Extrinsic Discourse Evaluation in Goal-Oriented Setups
- ArtNet: A JEPA-Like Articulatory Predictive Framework for Robust Zero-Shot Phoneme Recognition
- Rotational Symmetry based Object Pose Estimation from Point Clouds in the Absence of Known 3D Models
- Learning Interface Breakup: A Geometry-Conditioned Latent Surrogate for Spray Formation
- Multi-Modal Spatio-Temporal Graph Neural Network with Mixture of Experts for Soil Organic Carbon Prediction
- On the Entropy Formula for Real, Complex, and Quaternionic Deep Linear Networks
- RepNN: Tackling spectral bias in deep neural networks for regression and PDE problems via parameter reparameterization
- Transformation-driven generation of comparable projection images from multimodal anatomical scenes
- Fast When, Careful Who: Dual-Process Multiparty Turn-Taking with Diffusion Augmentation
- TNODEV: Toolbox for Neural ODE Verification
- Local-GS: Accelerating 3D Gaussian Splatting via Tile-Local Warp Coherence
- Elastic ODYN: Differentiable Optimization for Infeasible Control and Learning in Robotics
- The BD-LSC Dataset: Facilitating the Benchmarking of Models for Lexical Semantic Change Detection in Slang and Standard Usage
- The Faithfulness Gap: Certifying Semantic Equivalence Between Natural-Language and Formal Mathematical Statements
- MultiMolecule: a modular ecosystem for biomolecular sequence-model workflows
- Assessing Reliability of Symbol Detection in Concept Bottleneck Models
- Dual-Granularity Orthogonal Disentanglement for Generalizable Audio Deepfake Detection
- Neural Bayesian Anomaly Mitigation: A Robust Loss that Doubles as an Unsupervised Contamination Classifier
- SkillWiki: A Living Knowledge Infrastructure for Agent Skills
- Tail-Shape Estimation in LLM Evaluation Is Fragile: A Protocol for Diagnosing False Positives
- Petrov-Galerkin Variational Physics-Informed Neural Network Framework for Two-Dimensional Singularly Perturbed Problems
- Model Graph Inductive Learning for Knowledge Graph Completion
- Semi-Supervised Speech Confidence Detection using Pseudo-Labelling and Whisper Embeddings
- Active Reference Acquisition in Few-Shot Font Generation
- Post-Hoc Merging is Not Enough: Many-Shot Model Merging with Loss-Gap Balancing
- daVinci-kernel: Co-Evolving Skill Selection, Summarization, and Utilization via RL for GPU Kernel Optimization
- HOLO-MPPI: Multi-Scenario Motion Planning via Hierarchical Policy Optimization
- Uncertainty Quality of VGGT: An Analysis on the DTU Benchmark Dataset
- AURA: Active-Response Attribution under Treatment Ambiguity in Bacterial Cytological Profiling
- AI systems out-persuade expert humans
- MVOFormer: Flow-Semantic Transformer for Robust Monocular Visual Odometry
- From Awareness to Adherence: Bridging the Context Gap in Spoken Dialogue Systems via Context-Aware Decoding
- Decoupled Object-Centric Video Understanding for Generating Robotic Manipulation Commands
- Learning aligned EEG representations with subject-specific encoders
- Privacy from Symmetry: Orthogonally Equivariant Transformers for LLM Inference
- ResEdit: Residual embeddings for precise generative image editing
- SDS-LoRA: Overcoming Anisotropic Gradient Scaling in Low-Rank Adaptation
- PermaVid: Consistent Video Generation Across Edits via Disentangled Context Memory
- Hierarchical Fine-Grained Aerial Object Detection
- NeuronFabric: A Software Reference Architecture for On-Chip Transformer Training with Local Adam
- V2P-Manip: Learning Dexterous Manipulation from Monocular Human Videos
- Autonomous End-to-End SOH Prediction Services for Battery Systems via Temporal-Contrastive Representation Learning
- Lect=uraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching
- Beer-Lambert Guided Representation Learning for Unsupervised Anomaly Detection in Sub-THz Food Inspection Images
- Posterior Twins: Distributional Behavioral Simulation for Enterprise Decisions
- Not all Jensen-Shannon Divergence Estimators are Equal
- A Mechanistic Understanding of Pronoun Fidelity in LLMs
- SP3: Spherical Priors for Plug-and-Play Restoration
- Towards UAV Image Dehazing: A UAV Atmospheric Scattering Model, Benchmark, and Geometry-Aware Deep Unfolding Network
- Robust Neural Tucker Factorization with Bias Correction and Adaptive Initialization
- Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training
- Surpassing Scale by Efficiency: A Compact 135M Parameter Foundational LLM Natively Adapted for the Bangla Language
- Scalable and Interpretable Representation Alignment with Ordinal Similarity
- CacheMuon: Using Temporal Preconditioning To Approximate Polar Factor
- Evaluating LLM Personalization via Semantic Constraint Verification
- Input-Dependent Fisher Information for Local Sensitivity Analysis of Medical Image Classifiers
- FEnc2: Unifying Data Packing for Efficient Private Inference via Convolution and Architecture-Aware Fragment Encoding
- The Proxy Knows Too Much: Sealing LLM API Routers with Attested TEEs
- Simulation-Augmented Multi-Step Split Conformal Prediction for Aggregated Forecasts
- What Should a Streaming Video Model Remember?
- Communication-Efficient Verifiable Attention for LLM Inference
- TMASC: Transmasculine Attitude and Speech Corpus
- Whose hotel does the AI recommend? An algorithm audit of reputation signals in LLM-assisted hotel selection
- When the Past Matters: FlashBack Memory for Precipitation Nowcasting
- Filtered ANN as a Phase Transition: When Selectivity-Estimation Error Causes Plan Regret
- Medical Heuristic Learning: An LLM-Driven Framework for Interpretable and Auditable Clinical Decision Rules
- Differentiable Packing of Irregular 3D Objects with Adaptive Container Estimation
- Phase-Aware Guidance Injection for Recurrent MAPPO in Assembly-Line Disruption Recovery
- Exploiting Search in Symbolic Numeric Planning with Patterns
- ArtBoost: Synthetic Articulatory Data Augmentation for Acoustic-to-Articulatory Inversion
- Gaming-Resistant Insurance Contracts for Autonomous AI Agents: Strategy-Proof Toll Mechanism Design
- Attention-Based Prototype Calibration for Multi-Rater Few-Shot Medical Image Segmentation
- HAFMat: Hybrid Priors Guided Adaptive Fusion for Single-Image Human Material Estimation
- PaperJury: Due-Process Review for Bounded LaTeX Revision
- Architectural Wisdom: A Framework for Governing Optimization in AI Systems
- Is Your Trajectory Displacement Safe in Long-tail?
- QK-Normed MLA: QK normalization without full key caching
- Explainable Flood Segmentation on Sentinel-1 SAR1 Imagery Using CNN and Transformer Architectures
- One-Step Generalization Ratio Guided Optimization for Domain Generalization
- DDTNet: Degradation Disentanglement and Transfer Network for Test-Time All-in-One De-weathering Adaptation
- Sex-based Network-Specific Differences in Connectomes: A Krakencoder-Based Analysis
- AI Supply Chain Galaxy: 3D Visual Analytics for License Compliance
- An affordable hardware-aware neural architecture search for deploying convolutional neural networks on ultra-low-power computing platforms
- HiMPO: Hindsight-Informed Memory Policy Optimization for Less-Entangled Credit in Long-Horizon Agents
- Generative Modeling on Metric Graphs via Neural Optimal Transport
- Contrastive Learning for Seismic Horizon Tracking with Domain-Specific Priors
- UXBench: Measuring the Actionability of LLM-Generated UX Critiques
- Wavelength-Multiplexed 2D Beam Steering via a Passive Diffractive Network
- Variance Reduction for Non-Log-Concave Sampling with Applications to Inverse Problems
- Demystifying Training-Time Augmentation for Data-Constrained Language Model Pretraining
- Activating Latent Security Knowledge through LLM-Guided Risk Analysis for Secure Code Generation
- LiFT: Local Search via Linear Programming for Overfitting-Controlled Transformers
- Propagating Structural Guidance: Synthesizing Fluorescein Angiography from Fundus Images and Sparse OCT Scans
- From Tokens to Regions: CUDA-Sensitive Instruction Tuning for GPU Kernel Generation
- Prediction of Runtime Parameters of Parallel Chemistry Applications via Active and Generative Learning
- Graphical conditional generative modeling for digital twin modeling
- PACT: Privileged Trace Co-Training for Multi-Turn Tool-Use Agents
- Calibrated Sampling-Free Uncertainty Estimation in Bayesian Deep Learning
- Sensor-Conditioned Representation Learning via Scene-Relevant Observation Quotients
- Beyond Helpfulness: A Teaching-over-Solving Diagnostic for Measuring Educational Impact in LLM Tutors
- EgoPhys: Learning Generalizable Physics Models of Deformable Objects from Egocentric Video
- GRACE: Boosting Video MLLMs with Grounded Action-Centric Evidence for Viewer Sentiment Prediction
- When Confidence Lacks Concepts: Interpretable OOD Detection via Representation Perturbations
- Embedded Arena: Iterative Optimization via Hardware Feedback
- Learned JPEG Compression for DNN Vision
- EvoState: Closed-Loop Visual State Management for Long-Form Video Generation
- LLM-Powered Virtual Population for Demand Simulation and Pricing
- On the Geometry of Separation in Finite Gaussian Mixtures
- PAL-Bench: Evidence-Grounded Profile Reconstruction from Longitudinal Personal Albums
- Data-driven Control with Real-time Uncertainty Compensation for Multi-Fuel Engines
- Fi-Gaussian: Frequency-Aware Implicit Gaussian Splatting for Single Image Dehazing
- AI Pluralism and the Worlds It Misses
- Dehaze-GaussianImage: Zero-Shot Dehazing via Efficient 2D Gaussian Splatting Representation
- A comparative and critical study of EEGNet for fNIRS-driven cognitive load classification
- Continuous Splatting meets Retinex: Continuous Gaussian Splatting and Implicit Reflectance Modeling for Low-Light Image Enhancement
- A Comprehensive Survey of Medical Image Segmentation: Challenges, Benchmarks, and Beyond
- GRACE: Step-Level Benchmark for Faithful Reasoning over Context
- Closing the Approximation Gap in Simulation-free Latent SDEs
- InvDesMobility: a reliability-gated first-principles feedback framework for closed-loop materials discovery
- Shift-and-Sum Quantization for Visual Autoregressive Models
- AuAu: A Benchmark for Auditing Authoritarian Alignment in Large Language Models
- Training-Free Open-Vocabulary Visual Grounding for Remote Sensing Images and Videos
- EdgeZSAD: Practical Zero-Shot Anomaly Detection on Edge Devices
- RecourseBench: A Modular Framework for Reproducible Algorithmic Recourse Evaluation
- Scaling Adaptive Depth with Norm-Agnostic Residual Networks
- Variable-Rate Deep Image Compression based on Low-Rank Adaptation by Progressive Learning
- SceneCraft: Interactive System for Image Editing via Scene Graph
- Effective and Low-cost Lane-based Map Localization for Vehicle-Centric Route Generation
- Your "Pro" LLM Subscription May Actually Be "Free": Exposing Fingerprint Spoofing Risks in LLM Inference Services
- Long-Context Modeling via GSS-Transformer Hybrid Architecture with Learnable Mixing
- Enhancing Quantum Machine Learning with Anyons
- Rhythm of the Deep: Two-tier acoustic organization of sperm-whale codas from click waveforms to second-order sequence dependence
- Polynomial-Time Mistake-Bounded Language Generation
- AME: A Multi-Type Contributor Attribution Framework in Generative AI Markets
- Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels
- MASCOT-Android: A Curated Dataset and Automated Collection Pipeline for Android Malware Source Code Specimens